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    Nvidia-Certified Associate: Generative Ai And Llms Cert Prep

    Posted By: ELK1nG
    Nvidia-Certified Associate: Generative Ai And Llms Cert Prep

    Nvidia-Certified Associate: Generative Ai And Llms Cert Prep
    Published 2/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 5.29 GB | Duration: 4h 15m

    Focused. Concise. Effective.

    What you'll learn

    Fundamentals of machine learning and neural networks

    Fundamentals of Prompt engineering

    Python libraries for LLMs

    LLM integration and deployment

    Prepare for the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) certification

    Requirements

    Basic understanding of computing concepts

    Description

    This course is designed to prepare you for PASSING THE CERT EXAM!This concise and focused course is designed to prepare you for the NVIDIA-Certified Associate: Generative AI and LLMs exam.Created by Andrew Larkin, ex Head of Content for Cloud Academy, certified Cloud and AI expert and AWS Community Builder of the Year in 2024. Andrew has authored over 100 courses and has significant industry experience and expertise.  "Google "Andrew Larkin AWS" to learn more about me and why my course is your best option for mastering this exam. As Head of Content for Cloud Academy, I helped thousands of learners master cert exams with effective courses designed around the exam curriculum.  This course provides you with the information you need for the NVIDIA-Certified Associate: Generative AI and LLM exam. The course uses the skills and techniques I learnt helping 1,000's of people master AWS, Azure and GCP certs over the last 10 years"The course has clear and effective delivery.  It is visually interesting and engaging and respectful of your time. The curriculum includes sample exam questions, discussions, explanations and TWO PREP EXAMSDo this course if you want to save yourself time and master this coveted NVIDIA CERTIFICATIONWELCOME! AND GUIDE TO GETTING THE MOST FROM THIS COURSECOURSE OUTLINEHOW I WILL HELP YOU MASTER THIS CERTINSTALLING NVIDIA AI WORKBENCHNEW TO COMPUTING? START HERE! WHAT IS PROMPT ENGINEERING? - IN SIMPLE TERMSHOW GPT'S WORK - IN SIMPLE TERMS(AI FUNDAMENTALSINTRODUCTION TO AIGPU'S AND THE BENEFITS THEY PROVIDE?THE CHALLENGES FACING AI PROJECTSAI ROLES AND RESPONSIBILITIESAI WORKFLOW(AI STORAGEAI DEPLOYMENT STRATEGIES(AI DATA VISUALIZATIONGENERATIVE AI - FUNDAMENTALSINTRODUCTION TO GENERATIVE AINATURAL LANGUAGE PROCESSINGHOW "ATTENTION" WORKS IN GENERATIVE AIINTRODUCTION TO VECTORS AND WORDSAI VECTOR DATABASESENERGY EFFICIENT COMPUTINGTRAINING AND FINE TUNINGPROMPT ENGIINEERINGHYPER-PARAMETERSLLM-METRICS(CREATING GENERATIVE AI SOLUTIONS WITH NVIDIA TOOLSNVIDIA DATA CENTRE PLATFORMNVIDIA SOFTWARE ECOSYSTEMNVIDIA REFERENCE ARCHITECTURESTRAINING OPTIMIZATIONDEPLOYMENT AND INFERENCINGINTERENCE OPTIMIZATIONINTRODUCTION TO RAG WORKFLOWSNVIDIA TOOLS AND SERVICESMANAGING GENERATIVE AI SOLUTIONS AT SCALEDISTRIBUTED PROCESSINGAI CLUSTER DEPLOYMENT AND MANAGEMENTFINAL EXAM PREPTHINGS TO REMEMBER FOR THE EXAMNCA PREP - EXAM ONENCA PREP - EXAM TWO

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Course Outline

    Lecture 3 How I can help you master this cert

    Lecture 4 Installing NVIDIA AI WORKBENCH

    Section 2: New to Computing? Start HERE!

    Lecture 5 What is Prompt Engineering - In Simple Terms

    Lecture 6 How GPT's Work - In Simple Terms

    Section 3: Introduction to AI

    Lecture 7 Introduction to Artificial Intelligence

    Lecture 8 GPU's - and the benefits they create

    Lecture 9 The Challenges Facing AI Projects

    Lecture 10 AI Roles and Responsibilities

    Lecture 11 AI Workflow

    Lecture 12 AI Storage

    Lecture 13 AI Deployment Strategies

    Lecture 14 AI Visualization

    Section 4: Introduction to Generative AI

    Lecture 15 Introduction to Generative AI

    Lecture 16 Natural Language Processing

    Lecture 17 NLP Metrics

    Lecture 18 Introduction to Words and Vectors

    Lecture 19 Vector Databases

    Lecture 20 Energy efficient Computing

    Lecture 21 Training and Fine Tuning

    Lecture 22 Prompt Engineering

    Lecture 23 Hyper-Parameters

    Lecture 24 LLM Metrics

    Section 5: Creating Generative AI Solutions with NVIDIA Tools

    Lecture 25 NVIDIA Data Centre Platforms

    Lecture 26 NVIDIA Software Ecosystem

    Lecture 27 NVIDIA Reference Architectures

    Lecture 28 Training Optimization with NVIDIA Tools

    Lecture 29 Introduction to RAG Workflows

    Section 6: Managing Generative AI Solutions at Scale

    Lecture 30 Distributed Processing

    Lecture 31 AI Cluster Deployment and Management

    Section 7: Final Exam Prep

    Lecture 32 Things to Remember

    Anyone wanting to prepare for passing the NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) certification